Statistics and Data Visualization in Climate Science with R and Python

[ DevCourseWeb.com ] Statistics and Data Visualization in Climate Science with R and Python



If You Need More Stuff, kindly Visit and Support Us -->> https://DevCourseWeb.com







English | 2023 | ISBN: 1108842577 | 415 Pages | PDF | 36 MB



A comprehensive overview of essential statistical concepts, useful statistical methods, data visualization, and modern computing tools for the climate sciences and many others such as geography and environmental engineering. It is an invaluable reference for students and researchers in climatology and its connected fields who wish to learn data science, statistics, R and Python programming. The examples and exercises in the book empower readers to work on real climate data from station observations, remote sensing and simulated results. For example, students can use R or Python code to read and plot the global warming data and the global precipitation data in netCDF, csv, txt, or JSON; and compute and interpret empirical orthogonal functions. The book's computer code and real-world data allow readers to fully utilize the modern computing technology and updated datasets. Online supplementary resources include R code and Python code, data files, figure files, tutorials, slides and sample syllabi.



Download from free file storage



If You Need More Stuff, kindly Visit and Support Us -->> https://CourseWikia.com



Get Latest Tips and Tricks and Support Us -->> https://FreeCourseWeb.com



We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...